Fine-grained pseudo-code generation method via code feature extraction and transformer
Pseudo-code written by natural language is helpful for novice developers' program
comprehension. However, writing such pseudo-code is time-consuming and laborious …
comprehension. However, writing such pseudo-code is time-consuming and laborious …
Emotion classification in texts over graph neural networks: Semantic representation is better than syntactic
Social media is a widely used platform that provides a huge amount of user-generated
content that can be processed to extract information about users' emotions. This has …
content that can be processed to extract information about users' emotions. This has …
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
The rapid growth of biomedical literature poses a significant challenge for curation and
interpretation. This has become more evident during the COVID-19 pandemic. LitCovid, a …
interpretation. This has become more evident during the COVID-19 pandemic. LitCovid, a …
Emotion recognition on stackoverflow posts using bert
D Bleyl, EK Buxton - … International Conference on Big Data (Big …, 2022 - ieeexplore.ieee.org
Social programming websites like GitHub and StackOverflow have become an increasingly
important aspect of software development and the publicly available datasets provide a rich …
important aspect of software development and the publicly available datasets provide a rich …
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models
Objectives The surge in patient portal messages (PPMs) with increasing needs and
workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI …
workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI …
Neuro or Symbolic? Fine-tuned Transformer with Unsupervised LDA Topic Clustering for Text Sentiment Analysis
F Ding, X Kang, S Nakagawa… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For text sentiment analysis, state-of-the-art neural language models have demonstrated
promising performance. However, they lack interpretability, require vast volumes of …
promising performance. However, they lack interpretability, require vast volumes of …
Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages
I Ameer, N Bölücü, H Xu… - Proceedings of the 13th …, 2023 - aclanthology.org
We present the results of the WASSA 2023 Shared-Task 2: Emotion Classification on code-
mixed text messages (Roman Urdu+ English), which included two tracks for emotion …
mixed text messages (Roman Urdu+ English), which included two tracks for emotion …
[PDF][PDF] TUA1 at the NTCIR-16 DialEval-2 Task
In this paper, we report the work of TUA1 team in the dialogue evaluation (DialEval-2) task of
NTCIR-16, which consists of two subtasks: the Dialogue Quality (DQ) subtask and the …
NTCIR-16, which consists of two subtasks: the Dialogue Quality (DQ) subtask and the …
Analysis of Microblog Public Opinion Based on BERT Model
XT Gai - Proceedings of the Asia Conference on Electrical …, 2022 - dl.acm.org
This paper crawls 82,000 hot microblogs related to" The Beijing 2022 Winter Olympic
Games" and" Beijing 2022 Paralympic Winter Games" from February 1, 2022 to March 13 …
Games" and" Beijing 2022 Paralympic Winter Games" from February 1, 2022 to March 13 …
[PDF][PDF] Research on Interpretable Text Sentiment Analysis
D Fei - 2024 - repo.lib.tokushima-u.ac.jp
Research on Interpretable Text Sentiment Analysis Page 1 Research on Interpretable Text
Sentiment Analysis Ding Fei A Thesis submitted to Tokushima University in partial fulfillment of …
Sentiment Analysis Ding Fei A Thesis submitted to Tokushima University in partial fulfillment of …